Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Book Description Vehicular traffic congestion and accidents remain universal issues in todays world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools.

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.

Content

Chapter 1. An Approach Towards Intelligent Traffic Environment Using Machine Learning Algorithms
Chapter 2. Geocast Routing Protocols for Ad-Hoc Networks: Comparative Analysis and Open Issues
Chapter 3. Evaluation of Topology-Based Routing Protocols for Dissemination of Emergency Messages in Urban Vehicular Traffic Scenarios in India
Chapter 4. Survey on VANET and Various Applications of Internet of Things 
Chapter 5. Two-Stage Non-Cooperative Game Model for Vertical Handoffs in Heterogeneous Wireless Networks
Chapter 6. A Fuzzy Multi-Criteria Decision-Making Method for Managing Network Security Risk Perspective
Chapter 7. Software-Defined Vehicular Adhoc Network: A Theoretical Approach
Chapter 8. Vehicle Monitoring and Surveillance Through Vehicular Sensor Network
Chapter 9. Routing in Vehicular Delay Tolerant Networks: A Comparision
Chapter 10. Energy Harvesting for Wireless Sensor Nodes Using Rectenna
Chapter 11. Cloud Computing Technologies